Lab Members

Sriraam Natarajan Sriraam Natarajan
Alexander L. Hayes Alexander L. Hayes
Bhagirath Athresh Karanam Bhagirath Athresh Karanam
Saurabh Mathur Saurabh Mathur
Nikhilesh Prabhakar Nikhilesh Prabhakar
Sahil Sidheekh Sahil Sidheekh
Ranveer Singh Ranveer Singh
Michael Skinner, MD Michael Skinner, MD
Siwen Yan Siwen Yan
Tushar Khot Tushar Khot
Phillip Odom Phillip Odom
Shuo Yang Shuo Yang
Mayukh Das Mayukh Das
Navdeep Kaur Navdeep Kaur
Nandini Ramanan Nandini Ramanan
Srijita Das Srijita Das
Devendra Singh Dhami Devendra Singh Dhami
Gautam Kunapuli Gautam Kunapuli
Yuqiao Chen Yuqiao Chen
Brian Ricks Brian Ricks
Harsha Kokel Harsha Kokel

Faculty

Sriraam Natarajan

Professor of Computer Science.
Principal Investigator

The University of Texas at Dallas

Current Students

Alexander L. Hayes

Health Informatics (Ph.D.)

Indiana University Bloomington

Bhagirath Athresh Karanam

Bhagirath Athresh Karanam

Computer Science. (Ph.D.)

The University of Texas at Dallas

Saurabh Mathur

Computer Science. (Ph.D.)

The University of Texas at Dallas

Nikhilesh Prabhakar

Nikhilesh Prabhakar

Computer Science. (Ph.D.)

The University of Texas at Dallas

Sahil Sidheekh

Computer Science. (Ph.D.)

The University of Texas at Dallas

Ranveer Singh

Ranveer Singh

Computer Science. (Ph.D.)

The University of Texas at Dallas

Michael Skinner, MD

Michael Skinner, MD

Computer Science. (Ph.D.)

The University of Texas at Dallas

Siwen Yan

Computer Science. (Ph.D.)

The University of Texas at Dallas

Alumni

Harsha Kokel

Ph.D. Computer Science 2023 (UTD). Thesis: Beyond Data: Efficient Knowledge-guided Learning for Sparse and Structured Domains

Research Scientist at IBM Research

Brian Ricks

Ph.D. Computer Science 2022 (UTD).
Thesis: 'Practical Network Anomaly Detection: From Data Generation to Classification'

The University of Texas at Dallas

Yuqiao Chen

Ph.D. Computer Science 2022 (UTD).
Thesis: 'Fast Inference and Learning on Hybrid Relational Probabilistic Graphical Models'

Research Scientist at Meta

Gautam Kunapuli

R&D Manager

Verisk Analytics, Inc.

Devendra Singh Dhami

Ph.D. Computer Science 2020 (UTD).
Thesis: "Learning effective machine learning methods for health care"

Research Group Leader at hessian.AI

Srijita Das

Ph.D. Computer Science 2020 (UTD).
Thesis: 'Sample Efficient Cost-Aware Active Learning'

Postdoctoral Researcher at University of Alberta

Nandini Ramanan

Ph.D. Computer Science 2020 (UTD).
Thesis: 'Effective and Efficient Structure Learning of Graphical Models'

Senior Staff Data Scientist at Palo Alto Networks

Mayukh Das

Ph.D. Computer Science 2019 (UTD).
Thesis: "Human-Allied Efficient And Effective Learning in Noisy Domains"

Senior Researcher at Microsoft

Shuo Yang

Ph.D. Health Informatics 2017 (IU).
Thesis: "Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data"

Research Scientist at Google

Phillip Odom

Ph.D. Computer Science 2017 (IU).
Thesis: "Active Advice-Seeking for Reinforcement Learning"

Research Scientist at Georgia Tech

Tushar Khot

Ph.D. Computer Science 2014 (WISC).
Thesis: "Efficient Learning of Statistical Relational Models

Research Scientist at Allen Institute for AI

Justin G. Dula

Computer Science (M.S.)

The University of Texas at Dallas

Obuli Vignesh Rangasamy

Computer Science (M.S.)

Yuxin Zi

Computer Science. (MSc.)

Kaushik Roy

Computer Science (M.S.)

PhD student at The University of South Carolina

Arjun Manoharan

Computer Science (M.S.)

Indian Institute of Technology Madras (IIT-Madras)

Vignesh Suresh Babu Kishore

Data Science (M.S.)

Anurag Wazalwar

Computer Science (M.S.)

AOL

Niranjan Pachaiappan

Computer Science (M.S.)

Denim Group Inc

Shreya Maruthi

Computer Science (M.S.)

Amazon

Vignesh Vijayaraghavan

Computer Science (M.S.)

BehaviorMatrix

Aniket Gaikwad

Computer Science (M.S.)

AppZen

Rahul Pasanuri

Computer Science (M.S.)
Thesis: "Learning with Privileged Information: Decision-Trees and Boosting"

Amazon

Dileep Viswanathan

Computer Science (M.S.)

Amazon

Shrutika Poyrekar

Computer Science (M.S.)

DataCulture

Vishal Bangera

Computer Science (M.S.)

Ernst & Young

Jose Picado

Computer Science (M.S.)
Thesis: "Efficient Information Extraction Using Statistical Relational Learning"

Oregon State University

Baidya Nath Saha

Post-doc

Assistant Professor at CIMAT, Monterrey, Nuevo león, México

Adam Edwards

Ph.D. Student at the University of Illinois at Urbana-Champaign

Rick Freedman

Ph.D. Student at the University of Massachusetts Amherst